We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Experience: 3+ years

Role & Responsibilities

• Develop and maintain data models in Snowflake using dimensional modeling techniques such as star and snowflake schemas to support reporting and analytics requirements.
• Build, test, and document dbt models across staging, intermediate, and mart layers while following established development standards and best practices.
• Support Snowflake performance and cost optimization activities, including query tuning, warehouse monitoring, and efficient data storage practices.
• Design and maintain ELT/ETL pipelines to ingest and transform data from multiple sources such as ERP systems, APIs, flat files, and cloud platforms into Snowflake.  
• Develop automation scripts and data processing workflows using Python and cloud-native services.
• Implement data quality validations, perform data reconciliation, and assist in maintaining data lineage and documentation.
• Work closely with business analysts, reporting teams, and stakeholders to understand data requirements and deliver reliable data solutions.
• Participate in code reviews, testing, deployment activities, and continuous improvement of data engineering processes.

Experience

• Experience: 3+ years of experience in data engineering, analytics engineering, or a related role, with hands-on Snowflake and dbt experience in a production environment.
• Good understanding of Snowflake data warehousing concepts, including data modeling, SQL development, performance tuning, and data loading processes.
• Hands-on experience with dbt for model development, testing, documentation, and deployment.
• Strong SQL skills, including joins, CTEs, window functions, aggregations, and data transformation techniques.
• Proficiency in Python for data processing, automation, and API integration.
• Experience building and supporting ETL/ELT pipelines in cloud environments.
• Familiarity with BI and reporting tools such as Power BI or Tableau.
• Working knowledge of cloud platforms (AWS, Azure, or GCP) and related data services.
• Understanding of Git version control and CI/CD concepts. 

Must have skills: Data Modeling (Strong), Snowflake

Good to have skills: ETL Concepts (Capable), Power BI (Capable), Python (Capable)